Scania is a world-leading provider of sustainable transport solutions. Now, Scania needs a vision platform to automate manual work and to ensure quality within production and logistics. Ultimately, this will improve process quality and enable employees to focus on tasks where their competence has the most significant impact.
Complex products and processes sometimes require full-time employees to do manual quality and process control. Whereas traditional image processing has become a commodity, this area is fragmented, with several standalone solutions that do not interoperate, resulting in inefficiencies for large-scale industrial processes.
Scania seeks scalable computer vision solutions and new working methods to improve current processes. For example, computer vision systems could be used to carry out quality and process control, which traditionally requires human intervention.
Manual inspection is repetitive and error-prone. A sophisticated interplay between manual tasks and automation can produce higher-quality output, enabling employees to focus on the tasks for which human intelligence matters.
Scania does not seek a one-off solution but rather a company-wide platform to develop computer vision capabilities more flexibly. In other words, a computer vision platform that assists in data collection, pre-processing, modeling, deployment, and maintenance, with easy adaptability to future advancements in each area. An ideal solution is a plug-and-play approach with high interoperability, e.g., the possibility to train, deploy, and manage custom models quickly. The platform should be both hardware and cloud-agnostic.
Your opportunity with Scania
Scania is looking for startup and scale-up partners with expertise in industrial computer vision platform solutions that can enable the automation of traditionally manual industrial tasks, such as quality assurance in logistics, assembly, and process quality control.
A successful pilot will get a structural agreement with Scania to scale across different business units within Scania. The technology can be mounted into Scania’s production sites globally if a suitable scalable platform solution is found. Scania also wants to explore the possibility of deploying within the TRATON Group.
Examples we're looking for
Logistics quality gate
Computer vision can be used to ensure that the correct set of parts has been picked for their corresponding order. A detection model, for example, can be used.
Assembly quality gate
A simple classification algorithm can check if the correct part is assembled within the production line. Image processing (e.g., edge detection) sometimes does the job.
Process quality gate
A sophisticated system can automatically visually inspect surfaces that have been welded, machined, painted, or otherwise treated and mark defects.
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